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HEKA is built on Amazon Bedrock and uses Retrieval-Augmented Generation (RAG) to respond to queries about highway project design guides, specifications, and standard operating procedures, drawing from documents stored in SharePoint. The tool was developed through the Northeastern University Burnes Center AI for Impact co-op program. In early testing, engineers observed a 78% time savings compared to manual document searches. As of May 2025, MassDOT's AI team was exploring wider adoption with the Highway business unit.
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